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This paper presents a method for generating optimum multi-level implementations of Boolean functions. It is based on Satisfiability (SAT) problem solving, while different SAT techniques are employed to reach different targets. The method is able to generate one, or enumerate all optimum implementations, while any technology constraints can be applied. Results for 4 input functions implemented by XOR...
Regarding optimized logic network generation, recent papers have demonstrated that non-series-parallel topologies can deliver arrangements with fewer transistors when compared to the widely used series-parallel approach. However, due to its topology particularities, this paradigm represents a challenge for physical cell design, especially concerning the transistor placement procedure. In this scenario,...
An aggressive controlling for layout pattern density is becoming essential for the manufacturability of advanced processes. Focusing on analog layout under severe density constraints, this paper provides a novel idea that layout generation and verification are co-working on a density-aware format. Our idea follows a transistor-array(TA)-style of analog layout where unit-transistors of the same channel-size...
Today as technology has reached up to 7nm, meeting timing constraints at such technology node has become very difficult. The experimentations have been done over a multi-clock processor block on 32 nm node where several algorithms for optimization techniques are used. The used algorithms include optimization features such as buffer sizing, gate sizing, delay insertion, buffer and gate relocation and...
Based on the quantum genetic algorithm, a new improved quantum genetic algorithm is proposed by introducing the grouping optimization strategy of hybrid shuffled frog-leaping algorithm and combining the quantum variation and simulated annealing receiving criteria. The improved algorithm is applied to function optimization. The experimental results show that the proposed algorithm can improve the performance...
In this paper we propose an analytic approach to the variable sifting based on weighting of qubits and gates. The proposed scheme allows to optimally sift gates (multi-control single-target reversible gates) within a linear number of steps of computation and provides in general smaller amount of SWAP gates required to transform a reversible circuit into an Linear Nearest Neighbor (LNN) model than...
This paper develops a control scheme for the multi-gated perimeter traffic flow control problem of urban road networks. The proposed scheme determines optimally distributed input flows (or feasible entrance link green times) for a number of gates located at the periphery of a protected network area. A macroscopic model is employed to describe the traffic dynamics of the protected network. To describe...
Truck arrival appointment for the purpose of traffic congestion relief has attracted much academic attentions. Therefore, this paper presents a primary literature review on the research addressing appointments of container drayage services. The review is organized from four aspects as follows: the basic appointment problem at gates with or without considering yards, the problem considering trucking...
This paper develops a control framework for a network of energy harvesting nodes connected to a Base Station (BS) over a multiple access channel. Due to fluctuations in energy availability and, possibly, energy outages, the number of nodes attempting channel access is random and varies over time. Thus, each node must carefully adapt its access probability to the network state to optimize network performance...
Due to the shrinkage of CMOS technology, wear-out mechanisms such as Bias Temperature Instability (BTI) have raised growing concerns for circuit reliability. BTI can cause a threshold voltage shift in CMOS devices and consequently increase circuit delay. This paper presents an ageing-aware gate-level optimization approach that can be used in a modern synthesis process. It aims to optimize a circuit...
This paper investigates the advanced IGBT gate driving strategies which optimizes its switching behaviours and compares with the conventional driving method. The optimal IGBT performance not only relies on its advanced semiconductor design and fabrication techniques, but also the optimized local control and protection from intelligent gate drivers and global converter control strategy. An advanced...
the widespread availability of high-speed broadband Internet access brings online-enabled revenue model to gaming industry. However, Today’s Internet does not guarantee a quality level beyond best effort for the majority of applications used by home users. As a consequence, data flows transferred over the Internet can experience bandwidth constraints. At homes, this bandwidth constraint becomes more...
The premise realizing intelligent picking tomato is to segment tomato from complex background accurately, the quality of segmentation tomato affects the picking accuracy of the manipulator. Based on this, the paper puts forward a new type of quantum ant colony algorithm, and the traditional quantization bionic intelligent algorithm, using quantum bit probability amplitude of the individual's current...
In this work, we investigated the performance tradeoff between program/erase speed and data retention of ferroelectric HfZrO memory. The monoclinic HfNO layer with a trapping mechanism was employed to improve the data retention. Under the thickness optimization of HfNO, the HfZrO/HfNO gate stack can be functionalized with volatile and non-volatile operation.
In this paper, we will review the current challenges and advancements to continue standard device scaling beyond the 5nm technology node. Apart from the introduction of new materials and device concepts, we will also address the trend towards more heterogeneous systems requiring close interaction between the technology and system optimization.
This paper introduces an efficient hardware accelerated feature extraction architecture with a high spec of 1920×1080 image resolution at 120 fps. We choose MoFREAK feature [1] to implement in our real-time action recognition system. MoFREAK is a local spatio-temporal feature, which combines the appearance and motion descriptor independently. We design a two phase architecture to balance the throughput...
Threat propagation analysis is a valuable tool in improving the cyber resilience of enterprise networks. As these networks are interconnected and threats can propagate not only within but also across networks, a holistic view of the entire network can reveal threat propagation trajectories unobservable from within a single enterprise. However, companies are reluctant to share internal vulnerability...
Information Centric Networks (ICN) is very promising for Internet of Things (IoT) deployment, where the data-centric approach is useful in reducing the data retrieval latency as well as the network traffic for IoT services. Also, the innetwork caching capabilities in ICN limits the massive data access to the data producers and so relaxes the need of continuous connectivity E2E connectivity between...
In this paper, we propose a novel network model for RF-powered cognitive radio networks and ambient backscatter communications. In the network under consideration, each secondary transmitter is able to backscatter primary signals to the gateway for data transfer or to harvest energy from the primary signals and then use that energy to transmit data to the gateway. To maximize overall network throughput...
Internet of Things (IoT) will be one of the driving application for digital data generation in the next years as more than 50 billions of objects will be connected by 2020. IoT data can be processed and used by different devices spread all over the network. The traditional way of centralizing data processing in the Cloud can hardly scale because it cannot satisfy many of the latency critical IoT applications...
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